Journal
WATER RESOURCES MANAGEMENT
Volume 25, Issue 13, Pages 3465-3484Publisher
SPRINGER
DOI: 10.1007/s11269-011-9866-2
Keywords
Floods; Risk assessment; Multi-criteria analysis; Indicators; GIS; China
Categories
Funding
- National Natural Science Foundation of China [40971170, 51039001]
- Program for New Century Excellent Talents in University [NCET-09-330]
- National 863 High Technologies Research of China [2007AA10Z222]
Ask authors/readers for more resources
Floods, the most common natural hazard in the world, cause serious loss in terms of lives, buildings, and infrastructures. As a consequence, the need for flood risk assessment has become critical. Using a semi-quantitative model and fuzzy analytic hierarchy process (FAHP) weighting approach, this paper assessed flood risk in the Dongting Lake region, Hunan Province, Central China, an area where flood hazards frequently occur. The model was designed using spatial multi-criteria analysis (SMCA) techniques in a Geographic Information System (GIS). A GIS database of indicators for the evaluation of hazard and vulnerability was created. Each indicator was analyzed, standardized, and weighted; after which, the weights of the indicators were combined to obtain the final flood risk index map. Using the flood risk index, the study area was classified into five categories of flood risk: very low, low, medium, high, and very high. The high and very high risk zones are mainly concentrated in the northern and central plains. The results obtained can provide useful information for decision makers and insurance companies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available